School of Bioscience
Within AlgorOmics we develop and implement algorithms for integration, visualization, and analysis of large-scale omics data, with applications in stem cell differentiation and drug development.
Omics data integration is complicated and encompasses many significant and unresolved challenges, such as consolidation of data in public repositories, integration of data from different platforms, organisms, and omics domains, as well as standardization of processing workflows and visualization of data and results that facilitates biological insights and knowledge discovery. The algorithms that are developed in this project address these challenges and provide new methods for biomarker discovery and explorative analysis of multi-omics data.
The expected contributions from the project include the establishment of innovative algorithms, as well as identification of novel biomarker candidates by the application of these algorithms on various types of biomedical data that are generated in the project.